ISSN |
1007-9327 (print) and 2219-2840 (online) |
Open Access |
This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/Licenses/by-nc/4.0/ |
Copyright |
© The Author(s) 2021. Published by Baishideng Publishing Group Inc. All rights reserved. |
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Publisher |
Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA |
Website |
http://www.wjgnet.com |
Category |
Gastroenterology & Hepatology |
Manuscript Type |
Review |
Article Title |
Artificial intelligence in gastroenterology and hepatology: Status and challenges
|
Manuscript Source |
Invited Manuscript |
All Author List |
Jia-Sheng Cao, Zi-Yi Lu, Ming-Yu Chen, Bin Zhang, Sarun Juengpanich, Jia-Hao Hu, Shi-Jie Li, Win Topatana, Xue-Yin Zhou, Xu Feng, Ji-Liang Shen, Yu Liu and Xiu-Jun Cai |
Funding Agency and Grant Number |
Funding Agency |
Grant Number |
Zhejiang Medical and Health Science and Technology Project |
2019321842 |
National Natural Science Foundation of China |
81827804 |
Zhejiang Clinical Research Center of Minimally Invasive Diagnosis and Treatment of Abdominal Diseases |
2018E50003 |
|
Corresponding Author |
Xiu-Jun Cai, FACS, FRCS, MD, PhD, Chief Doctor, Professor, Surgeon, Department of General Surgery, Sir Run-Run Shaw Hospital, Zhejiang University, No. 3, Qingchun East Road, Hangzhou 310016, Zhejiang Province, China. srrsh_cxj@zju.edu.cn |
Key Words |
Artificial intelligence; Gastroenterology; Hepatology; Status; Challenges |
Core Tip |
Artificial intelligence (AI) technologies are widely used for medical image analysis in the gastroenterology and hepatology fields. Several AI models have been developed for accurate diagnosis, treatment, and prognosis based on images of endoscopy, radiology, pathology, achieving high performance comparable to experts. However, we should be aware of the certain constraints that limit the acceptance and utilization of AI tools in clinical practice. To use AI wisely, doctors and researchers should work together to address the current challenges and develop more accurate AI tools to improve care for patients. |
Publish Date |
2021-04-21 05:56 |
Citation |
Cao JS, Lu ZY, Chen MY, Zhang B, Juengpanich S, Hu JH, Li SJ, Topatana W, Zhou XY, Feng X, Shen JL, Liu Y, Cai XJ. Artificial intelligence in gastroenterology and hepatology: Status and challenges. World J Gastroenterol 2021; 27(16): 1664-1690 |
URL |
https://www.wjgnet.com/1007-9327/full/v27/i16/1664.htm |
DOI |
https://dx.doi.org/10.3748/wjg.v27.i16.1664 |